Enterprise AI Manager

Talking Rain Beverage Co®, makers of Sparkling Ice•Preston, WA

1d•$165,000 - $200,000•Onsite

About The Position

Talking Rain Beverage Company is hiring an Enterprise AI Manager for a foundational role defining and advancing the company’s AI-enabled capabilities. The manager will own the enterprise-wide AI capability roadmap, identify opportunities across functions, and translate business strategy into measurable AI adoption and business outcomes. The role sits at the intersection of business strategy, technology, and people, with responsibility for developing AI capabilities as a durable competitive advantage. The position is onsite at the company’s Preston, Washington office and reports to the Director, Enterprise Data. The role partners with executive and functional leaders to set AI strategy, establish governance and risk frameworks, coordinate cross-functional delivery, manage vendors, and lead end-to-end program execution. It also drives AI literacy, organizational adoption, and measurement of investment impact. The advertised base salary is $165,000–$200,000, depending on experience, with an annual bonus potential of 8%, subject to the company meeting annual financial targets. New hires typically receive compensation between the minimum and midpoint, though a higher amount may be considered based on experience, internal equity, and market factors. Year-one success includes an executive-aligned AI roadmap; moving two to three high-impact use cases from concept to production; establishing an AI governance framework across key functions; improving AI literacy; and implementing a repeatable program-management cadence with portfolio tracking, intake, and executive reporting.

Requirements

At least 6 years of experience in technology product management, with a meaningful focus on AI, data, or analytics capabilities at enterprise level.
Demonstrated success building and scaling AI or analytics capabilities, driving adoption and measurable outcomes in addition to delivering features.
Experience developing AI or technology strategy in partnership with senior business stakeholders.
Strong cross-functional leadership skills and ability to align diverse teams around a shared vision.
Excellent communication skills, including explaining complex AI concepts clearly to non-technical audiences.
Familiarity with AI governance, model risk management, and responsible AI principles.
Experience with Agile or iterative delivery models, roadmaps, and prioritization frameworks.
Demonstrated ability to manage complex, multi-workstream programs, including portfolio tracking, dependency management, risk identification, and executive-level stakeholder reporting.

Nice To Haves

Hands-on familiarity with modern AI and data platforms such as Microsoft Fabric, Azure OpenAI, Power BI, Copilot, or similar LLM tooling.
Experience in CPG, retail, or similarly fast-moving consumer industries.
Experience developing people through clear expectations, direct feedback, and accountability.
Background in change management or organizational transformation.
Understanding of data architecture concepts such as medallion architecture, semantic models, and data pipelines.
Experience with Design Thinking or Jobs-to-be-Done frameworks applied to analytics or AI product design.

Responsibilities

Partner with executive and functional leadership to define an enterprise AI strategy and multi-year capability roadmap, prioritizing opportunities against measurable business outcomes.
Serve as an internal authority on AI trends and best practices to support leadership investment decisions.
Establish and evolve frameworks for evaluating, piloting, deploying, and retiring AI, including governance, risk management, and compliance standards.
Collaborate with data engineering, IT, and security to ensure AI solutions have a reliable and secure foundation.
Translate business needs into requirements and success metrics, working with data scientists, engineers, and BI developers to deliver AI products.
Manage vendor and partner relationships to ensure access to appropriate AI and data platforms.
Manage the AI capability roadmap end to end, including initiative portfolios, milestones, and progress reporting to executive stakeholders.
Drive cross-functional program governance by facilitating steering committees, coordinating workstreams, and maintaining program health dashboards and executive communications.
Promote AI literacy and adoption through training, workshops, and executive communications.
Define and track adoption metrics, ROI frameworks, and feedback loops to demonstrate the business impact of AI investments.

Benefits

Three weeks of vacation per calendar year, with additional vacation accrual over time depending on exempt status.
Six weeks of paid parental leave for FMLA-qualifying employees; birth mothers receive additional medical leave, and additional leave may be available depending on state and circumstances.
Flexibility stipend for eligible employees, intended to contribute to phone, internet, or other business-related costs.
Relocation assistance may be available.
Mileage reimbursement for eligible onsite and hybrid employees who carpool with another Rain Maker at least twice a week.
401(k) with matched contributions and immediate vesting.
Fitness reimbursements for community events and competitions.
Access to an onsite gym in Preston, including a personal trainer two days per week.
Medical, dental, and vision insurance, with flexible plan options and one plan available at no cost to employees.
Annual bonus potential of 8%, contingent on the company meeting annual financial targets.